Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
How Edge Computing Works | What is Edge Computing | Edge Computing Benefits |...Intellipaat
In this video on Edge Computing, you will learn what is edge computing, the Origin of edge computing, how edge computing works, edge computing benefits, and a lot more interesting concepts.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
A Guide to Edge Computing Technology For Business OperationsCerebrum Infotech
Edge computing services enable us to generate more data at a faster rate and distribute it to a range of networks and devices located at or near the consumer. For further details, see our website.
What Is Edge Computing? Everything You Need to KnowDigital Carbon
Edge computing is transforming the way we process and utilize data in the era of 5G. This groundbreaking technology is redefining the rules for businesses by bringing computing resources closer to the data source, reducing latency, and enabling real-time decision-making.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
IoT Challenges: Technological, Business and Social aspectsRoberto Minerva
Internet of Things is promising to be a set of technologies able to have a high impact on how people live, produce, modify and interact with the environment. Such a transformation is driven by increasing technologies capabilities of sensors/actuators, communications, general-purpose hardware, availability of software and programmability of devices. The integration of so different technologies is a problem in itself and IoT is also trying to solve cogent issues of specific problem domains, such as e-health, transportation, manufacturing, and so on. Large IoT systems (e.g., smart cities) stand on their own because the smartness requires integration of different technologies, processes and different administrative domains creating the needs to deal with a complex system. In addition to technological and problem domain specific challenges, there exist further challenges that fall in business, social and regulation realms. They can greatly impact the deployment and the success of IoT deployment. The speech aims at providing a view on some major technologies challenges of IoT and to cover a few critical business and social issues that could hamper the large deployment of IoT systems by providing some examples of implementation.
How Edge Computing Works | What is Edge Computing | Edge Computing Benefits |...Intellipaat
In this video on Edge Computing, you will learn what is edge computing, the Origin of edge computing, how edge computing works, edge computing benefits, and a lot more interesting concepts.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks.
Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
The term "Fog Computing" was introduced by the Cisco Systems .
Its extended from cloud
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
A Guide to Edge Computing Technology For Business OperationsCerebrum Infotech
Edge computing services enable us to generate more data at a faster rate and distribute it to a range of networks and devices located at or near the consumer. For further details, see our website.
What Is Edge Computing? Everything You Need to KnowDigital Carbon
Edge computing is transforming the way we process and utilize data in the era of 5G. This groundbreaking technology is redefining the rules for businesses by bringing computing resources closer to the data source, reducing latency, and enabling real-time decision-making.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
AI Edge Computing Technology: Edge Computing and Its FutureKavika Roy
Edge Computing as a new approach has uncovered opportunities to implement fresh ways to store and process data. Edge computing has many stored-in answers for many enterprises for multiple problems and will be a real-time efficient solution.
https://www.datatobiz.com/blog/ai-edge-computing-technology/
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.
Extends cloud computing services to the edge of the network.
Similar to cloud, Fog provides:
Data
Computation
Storage
Application Services to end users.
Motivations for Fog Computing:
Smart Grid, Smart Traffic Lights in vehicular networks and Software Defined Networks.
Everything You Need to Know About Edge Computing TechnologiesCerebrum Infotech
Edge computing services deliver data more quickly to various networks and bias at or close to the user's location. The storing of data, however, is done through cloud computing. On our website, more details are available.
A Comprehensive Exploration of Fog Computing.pdfEnterprise Wired
This article delves into the intricacies of Fog computing, exploring its definition, key components, benefits, and its transformative impact on various industries.
The Future of Fog Computing and IoT: Revolutionizing Data ProcessingFredReynolds2
Sending a business e-mail, watching a YouTube video, making an online video call meeting, or playing a video game online requires considerable data flow. It necessitates such massive data flow in the direction of servers in data centers. Cloud computing prefers remote data processing and substantial storage systems to develop online apps we use daily. But we must know that other decentralized cloud computing systems exist. Fog computing technology is growing wildly in popularity. As per fog technology experts, the global fog technology market will reach nearly $2.3 billion at the end of 2032. The market for fog technology was $196.7 million at the end of 2022.
Building an Edge Computing Strategy - Distributed infrastructure.pptxMandakini Kumari
Edge computing solutions address this need for localized computing power. Networking, compute & storage closer to the consumer.
IT infrastructure and operations (I&O) leaders tasked with managing these solutions should understand the associated business value and risks
Increasing data security & privacy
Reduce 65% latency & network cost.
25% reduction in the cyberattacks
Caching, buffering, and optimizing data
Improving business efficiency and reliability
Real time data processing
A look at cloud computing and how it compares against the Grid!
While this slide is not detailed enough, it contains bits and pieces of what makes a 'cloud' work.
Shaping the Future Essential Cloud Computing Trends You Need to Know.pptxCatherine William
Businesses rely heavily on them as a key way to scale, innovate and adapt efficiently; as organizations anticipate what trends drive digital transformation services forward it is imperative they stay abreast of them and stay current on them. Here, you explore some must-know trends driving digital transformation services. For getting more information please visit the website now. https://www.impressico.com/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. INTRODUCTION
WHAT IS EDGE COMPUTING ?
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices
around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where
things and people produce or consume that information”
3. Edge computing works by capturing and processing
information as close to the source of the data or
desired event as possible.
It relies on sensors, computing devices and machinery
to collect data and feed it to edge servers or the cloud.
Depending on the desired task and outcome, this data
might feed analytics and machine learning systems,
deliver automation capabilities or offer visibility into
the current state of a device, system or product.
4. WHY THERE ARISES A NEED FOR EDGE
COMPUTING ?
It is universally true that cloud computing helps to achieve
mass centralization, data processing and enables to focus
around storage and scaling.
When data travels miles from cloud data-center to the end-user,
it goes over thousands of miles to the end users.
For examples : A Self – Driven Autonomous Car
Driverless cars need to ensure that they are keeping to their
lanes, recognizing and stopping at the red lights, decelerating
by identifying pedestrians and other obstacles and much more.
If we send such massive data to the centralized cloud servers to
process and get the response it can result in disaster, as It is not
fast enough to respond to the immediate dangers in real-time.
It reduces strain on the network and provides better reliability
by reducing the time lag between data processing and
transferring the data to the vehicle.
5. WHY EDGE COMPUTING IS IMPORTANT
FOR BUSINESSES ?
Businesses can benefit from the reduced latency
with the instant access of real-time data in remote
locations.
The main purpose of edge computing is to
decentralize data handling.
Many businesses are seeing the impact edge
computing can have.
It can improve production monitoring for
manufacturing, drive predictive maintenance and
asset management for oil and gas, and even power
autonomous vehicles.
Cities looking to take advantage of technology to
better serve its citizens can improve traffic control
measures.
6. APPLICATIONS OF EDGE
COMPUTING
Edge Computing can be used to push applications,
data and services away from centralized hubs to
logical extremes of a network.
Smart Cities
Manufacturing
Healthcare
Augmented Reality Devices
AI Virtual Assistant
7. ADVANTAGES DISADVANTAGES
Speed
Security
Scalability
Versatility
Reliability
Low latency
Real Time Availability
Bring Company And Customer Together
Incomplete Data
More Storage Space
Investment Cost
Maintenance
Only Local Area Coverage